Postdoctoral Fellow (High-Throughput Synthesis and Advanced Characterization for Disordered Thermal Materials)
Core
Design and develop high-throughput synthesis platforms and advanced characterization workflows to demystify microstructure-property relationships in disordered thermal materials and optimize performance using machine learning.
Role type
Postdoctoral Fellow (High-Throughput Synthesis and Advanced Characterization)
Builds
Experimental infrastructures for Materials Generative Design and Testing Framework
Domain
Materials Science / Computational Materials Science / Disordered Thermal Materials
Deliverable
production ML models | research
Required skills
high-throughput synthesis, aberration-corrected electron microscopy, pair distribution function analysis, XRD refinement, crystal structure analysis, Python programming, machine learning model application
Preferred skills
grant writing, lab equipment maintenance, mentoring, academic publishing
Technologies
scikit-optimize, Python, aberration-corrected TEM, XRD
Responsibilities
Design and develop high-throughput synthesis platform, integrate coding and rapid synthesis techniques for automation, utilize advanced characterization techniques to analyze synthesis-microstructure-property relationships, collaborate with interdisciplinary teams, assist in grant writing, maintain lab equipment, produce research reports, mentor junior researchers, publish findings in high-impact journals
Seniority
Postdoctoral, hands-on IC researcher